Deriving strong association mining rules using a dependency criterion, the lift measure

Sikha Bagui, Jiri Just and Subhash C. Bagui

International Journal of Data Analysis Techniques and Strategies, 2009, vol. 1, issue 3, 297-312

Abstract: Traditional association mining rule algorithms have two major drawbacks: first, there is a need to repeatedly scan the dataset and second, they generate too many association rules. In this paper, we have presented a dependency-based association mining rule algorithm, implemented using an array list structure in JAVA, that does not require more than one scan of the full dataset and generates a lot less strong association mining rules. The additional dependency criterion used was the lift measure.

Keywords: frequent pattern mining; association rule mining; strong association rules; dependency criterion; lift measure; array list structure. (search for similar items in EconPapers)
Date: 2009
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